VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Communications of the ACM
Image retrieval by color semantics
Multimedia Systems - Special issue on video content based retrieval
Image classification and querying using composite region templates
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Semantic based image retrieval: a probabilistic approach
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Unsupervised Segmentation of Color-Texture Regions in Images and Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
Clustering for Approximate Similarity Search in High-Dimensional Spaces
IEEE Transactions on Knowledge and Data Engineering
Markov Random Field Models for Unsupervised Segmentation of Textured Color Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rotation-invariant texture feature for image retrieval
Computer Vision and Image Understanding
NeTra: a toolbox for navigating large image databases
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Fast image segmentation based on multi-resolution analysis and wavelets
Pattern Recognition Letters
An efficient low-dimensional color indexing scheme for region-based image retrieval
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Image segmentation and similarity of color-texture objects
IEEE Transactions on Multimedia
Joint semantics and feature based image retrieval using relevance feedback
IEEE Transactions on Multimedia
Automatic watershed segmentation of randomly textured color images
IEEE Transactions on Image Processing
Matching and retrieval based on the vocabulary and grammar of color patterns
IEEE Transactions on Image Processing
Spatial template extraction for image retrieval by region matching
IEEE Transactions on Image Processing
Extracting color features and dynamic matching for image database retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Learning a semantic space from user's relevance feedback for image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Relevance feedback in region-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
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The problem confronted in the content-based image retrieval research is the semantic gap between the low-level feature representing and high-level semantics in the images. This paper describes a way to bridge such gap: by learning the similar images given from the user, the system extracts the similar region pairs and classifies those similar region pairs either as object or non-object semantics, and either as object-relation or non-object-relation semantics automatically, which are obtained from comparing the distances and spatial relationships in the similar region pairs by themselves. The system also extracts interesting parts of the features from the similar region pair and then adjusts each interesting feature and region pair weight dynamically. Using those objects and object-relation semantics as well as the dynamic weights adjustment from the similar images, the semantics of those similar images can be mined and used for searching the similar images. The experiments show that the proposed system can retrieve the similar images well and efficient.